Richard Żak

AI Engineer at Enarx

Baltimore, Maryland, United States
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Summary

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Richard Żak is an AI Engineer with 13 years of software and security experience, currently applying research-grade AI to production systems at Booz Allen Hamilton while maintaining leadership in confidential computing as an Enarx maintainer. He combines deep practical knowledge of Trusted Execution Environments (Intel SGX/SNP), remote attestation, and X.509/CRL-based revocation with hands-on backend engineering in Rust and WebAssembly. A longtime educator and adjunct professor, he teaches malware and machine learning courses and has a graduate MPS in Cybersecurity and a data science certificate from UMBC. He also advises startups and volunteers in civic tech, bringing a rare mix of applied security, cloud infrastructure, and teaching experience. Notably, his open-source contributions helped harden Enarx’s enclave attestation and CRL workflows—bridging research, tooling, and production security.
code13 years of coding experience
job21 years of employment as a software developer
bookUMBC
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814reputation
72kreached
6answers
17questions
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Github Skills (19)

confidential-computing10
sgx10
it-security10
security10
rust10
forms9
cryptography9
x5099
webassembly9
html6
cuda6
integer6
disassembly6
validation6
nvcc6

Programming languages (24)

JavaC++CRustCMakeQMakeGoHTML

Github contributions (5)

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enarx/enarx

Mar 2022 - Jan 2023

Enarx: Confidential Computing with WebAssembly
Role in this project:
userBackend & Security Engineer
Contributions:116 reviews, 8 commits, 47 PRs in 10 months
Contributions summary:Richard primarily contributed to the backend infrastructure of the Enarx project, focusing on secure enclave attestation and CRL (Certificate Revocation List) management. They implemented features related to fetching, caching, and validating CRLs for both SGX and SNP environments, enhancing the security posture. Their work involved modifying core backend code, implementing secure enclave features, and integrating with platform-specific security mechanisms. They also contributed to tooling for the enclave environment.
trusted-execution-environmentteeenarxwebassemblyconfidential-computing
malwaredb/data

Sep 2023 - Nov 2024

Some data for your MalwareDB instance
Contributions:1 review, 1 PR, 22 pushes in 1 year 2 months
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Richard Żak - AI Engineer at Enarx